Zobrazeno 1 - 10
of 147
pro vyhledávání: '"Doumas, Leonidas A. A."'
Humans perceive the world in terms of objects and relations between them. In fact, for any given pair of objects, there is a myriad of relations that apply to them. How does the cognitive system learn which relations are useful to characterize the ta
Externí odkaz:
http://arxiv.org/abs/2203.13599
Recent research has focused on assessing either event- or time-based prospective memory (PM) using laboratory tasks. Yet, the findings pertaining to PM performance on laboratory tasks are often inconsistent with the findings on corresponding naturali
Externí odkaz:
http://arxiv.org/abs/2102.10448
Autor:
Kourtesis, Panagiotis, Korre, Danai, Collina, Simona, Doumas, Leonidas A. A., MacPherson, Sarah E.
Publikováno v:
Frontiers in Computer Science, 1, p.12 (2020)
Virtual reality (VR) head-mounted displays (HMD) appear to be effective research tools, which may address the problem of ecological validity in neuropsychological testing. However, their widespread implementation is hindered by VR induced symptoms an
Externí odkaz:
http://arxiv.org/abs/2101.08166
Publikováno v:
2019.Frontiers in human neuroscience, 13, p.417
Research suggests that the duration of a VR session modulates the presence and intensity of VRISE, but there are no suggestions regarding the appropriate maximum duration of VR sessions. The implementation of high-end VR HMDs in conjunction with ergo
Externí odkaz:
http://arxiv.org/abs/2101.08146
Publikováno v:
2019,Frontiers in Human Neuroscience, 13, p.342
Immersive virtual reality (VR) emerges as a promising research and clinical tool. However, several studies suggest that VR induced adverse symptoms and effects (VRISE) may undermine the health and safety standards, and the reliability of the scientif
Externí odkaz:
http://arxiv.org/abs/2101.08123
Publikováno v:
2022, Psychological Review
People readily generalize knowledge to novel domains and stimuli. We present a theory, instantiated in a computational model, based on the idea that cross-domain generalization in humans is a case of analogical inference over structured (i.e., symbol
Externí odkaz:
http://arxiv.org/abs/1910.05065
The ability of neural networks to capture relational knowledge is a matter of long-standing controversy. Recently, some researchers in the PDP side of the debate have argued that (1) classic PDP models can handle relational structure (Rogers & McClel
Externí odkaz:
http://arxiv.org/abs/1905.05708
Humans learn complex latent structures from their environments (e.g., natural language, mathematics, music, social hierarchies). In cognitive science and cognitive neuroscience, models that infer higher-order structures from sensory or first-order re
Externí odkaz:
http://arxiv.org/abs/1810.01127
Humans readily generalize, applying prior knowledge to novel situations and stimuli. Advances in machine learning and artificial intelligence have begun to approximate and even surpass human performance, but machine systems reliably struggle to gener
Externí odkaz:
http://arxiv.org/abs/1806.01709
Publikováno v:
Philosophical Transactions: Biological Sciences, 2020 Feb 01. 375(1791), 1-7.
Externí odkaz:
https://www.jstor.org/stable/26865267